著書

• Rahmaniar W, Deng Z., Yang Y., Jin Z., Suzuki K.. Decentralized Diagnostics: The Role of Federated Learning in Modern Medical Imaging, Advances in Intelligent Disease Diagnosis and Treatment, Springer, pp. 223-239, Sept. 2024.

国際会議発表 (査読有り)

• Deng Z., Jin Z., Suzuki K.. Dual-domain MTANN for virtual high-dose imaging in digital breast tomosynthesis (DBT), Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.
• Zhang C., Jin Z., Hori M., Sofue K., Murakami T., Suzuki K.. AI-aided diagnostic system providing explanations in LI-RADS language in liver cancer diagnosis using MRI, Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.
• Kodera S., Mohammad C.S., Jin Z., Watadani T., Abe O., Suzuki K.. Super-efficient AI for lung nodule classification in CT based on small-data massive-training artificial neural network (MTANN), Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.
• Qu T., Yang Y., Jin Z., Suzuki K.. Annotation-free AI learning of lung nodule segmentation in CT using weakly-supervised Massive -training Artificial neural networks, Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.
• Yuan T., Jin Z., Tokuda Y., Tomiyama N., Naoi Y., Suzuki K.. Forecast of genetic assessments for tumor response to chemotherapy only with pretherapeutic breast MRI by means of radiogenomic imaging biomarker scheme, Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.
• Yuqiao Yang, Ze Jin, Fumihiko Nakatani, Mototaka Miyake, Kenji Suzuki. “Small-data” Patch-wise Multi-dimensional Output Deep-learning for Rare Cancer Diagnosis in MRI under Limited Sample-size Situation, 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), May 2024.
• Kodera S., Rahmaniar W., Oshibe H., Jin Z., Watadani T., Abe O., Suzuki K.. Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database, 2024 6th International Conference on Image, Video and Signal Processing (IVSP 2024), Mar. 2024.

国内会議発表 (査読有り)

• 染谷健太郎, 小寺昇冴, 押部弘子, 靳泽, 鈴木賢治. CTにおける複数のMTANNを組み合わせた肺結節のセグメンテーション, メディカルイメージング連合フォーラム2024, Mar. 2024.

国内会議発表 (査読なし・不明)

• 井原拓哉, 脇智彦, 藤田浩二, Li Chenggeer, Ze Jin, 押部弘子, 鈴木賢治. スモールデータ深層学習を用いた単純X 線画像での舟状骨骨折検知AI システムの開発, 2023年度生体医歯工学共同研究拠点成果報告会, Mar. 2024.

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